Technical Lead (JavaScript, Python)

Technical Lead (JavaScript, Python)

Company: Sigmoid

Job Location: Bengaluru, Karnataka, India

Employment Type: Full-time

Experience Required: 7 - 12 years

As a Dataops Lead, you will be responsible for managing, design highly scalable and Available solution for data pipelines that provides the foundation for collecting, storing, modelling, and analysing massive data sets from multiple channels.

Travel to client locations

Design, manage & deploy highly scalable and fault-tolerant distributed components using Bigdata technologies.

Ability to evaluate and choose technology stacks that best fit client data strategy and constraints

Drive Automation and massive deployments

Develop industry leading CI/CD, monitoring and support practices inside the team

Develop scripts to automate DevOps processes to reduce team effort

Perform root cause analysis for production errors

Support developers in day-to-day DevOps operations

Excellent experience in Application support, integration development and data management.

Guiding DevOps in day-to-day design, automation & support tasks

Play a key role in hiring technical talents to build the future of Sigmoid.

Conduct training for technology stack for developers in house and outside

Analytical and data driven orientation.

Raw intellect, talent and energy are critical.

Entrepreneurial and Agile: understands the demands of a private, high growth company.

7 - 12 years track record of relevant work experience and a computer Science or a related technical discipline is required

Proven track record of building and shipping large-scale engineering products and/or knowledge of cloud infrastructure such as Azure/AWS preferred

Experience in Python/Java programming or any scripting language

Experience in managing Linux systems, build and release tools like Jenkins

Ability to collaborate with a diverse set of engineers, data scientists and product managers

Support experience in BigData domain

Architecting, implementing, and maintaining Big Data solutions

Experience with Hadoop ecosystem (HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, KAFKA, etc)

Experience in container technologies like Docker, Kubernetes & configuration management systems .